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» Data Gathering in Sensor Networks
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PVLDB
2008
107views more  PVLDB 2008»
14 years 9 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
MOBISYS
2007
ACM
15 years 9 months ago
Real-time deployment of multihop relays for range extension
When the range of single-hop wireless communication is limited by distance or harsh radio propagation conditions, relays can be used to extend the communication range through mult...
Michael R. Souryal, Johannes Geissbuehler, Leonard...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
PETRA
2009
ACM
15 years 4 months ago
Ambient kitchen: designing situated services using a high fidelity prototyping environment
The Ambient Kitchen is a high fidelity prototype for exploring the design of pervasive computing algorithms and applications for everyday environments. The environment integrates ...
Patrick Olivier, Guangyou Xu, Andrew Monk, Jesse H...
ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...